Specification and Computation of Warping and Morphing Transformations. Bruno Costa da Silva Microsoft Corp.
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1 Specification and Computation of Warping and Morphing Transformations Bruno Costa da Silva Microsoft Corp.
2 Morphing Transformations Representation of Transformations Specification of Transformations Specification Techniques
3 Morphing Transformation Shape & Attribute Transformation Shape transformation Alignment Shape Combination Blending Attribute transformation Combination Input = two different graphical objects Output = a new graphical object 3
4 Morphing Input Aligned Output f 1 Warp W ( f ) 1 Combine g f 2 Warp W ( f ) 2 g = A ( W ( f ), W ( f )) 1 2 4
5 Example: Shape Transformation Alignment through Warping 5
6 Example: Attribute Transformation Cross-dissolve + = 6
7 Example: Morphing + = + = 7
8 Transformation Dimension Intrinsic Dimension of Objects: Letters are 2D Buildings are 3D Transformations can occur in: Intrinsic dimension Visualization dimension 8
9 2D x 3D Transformations 9
10 2D Warp x 3D Warp 10
11 Reduced Dimension Morphing 2.5D morphing 3D warp + 2D cross-dissolve View Morphing Infer projection parameters New views from other viewpoints 11
12 View Morphing 12
13 Transformations Animations Input graphical object: Static Dynamic Transformation: Fixed Variable Output graphical object: Dynamic 13
14 Producing Animations Input Static Transformation Fixed Output Static Static Variable Dynamic Dynamic Fixed Dynamic Dynamic Variable Dynamic 14
15 Morphing Transformations Representation of Transformations Specification of Transformations Specification Techniques
16 Abstraction Levels Physical Universe Mathematical Universe Representation Universe Implementation Universe 16
17 The Transformation Process User Specification Representation Results Computation 17
18 The Transformation Process Characteristics User Input: Short and simple Representation: Can be complex, but Simple to obtain from specification and Simple to use for computation 18
19 Selecting a Representation Goals Computer storage and manipulation Finiteness and continuity Control and user friendliness Possibility of efficient computation Simplicity 19
20 Representation Example Projective Warp A B B A D D C C 20
21 Representation Example Some Possible Decisions User Inputs: Perspective parameters Four corners and their deformation Representations: Four corners and their deformation Transformation matrix 21
22 Morphing Transformations Representation of Transformations Specification of Transformations Specification Techniques
23 Specifying Transformations Globally Few parameters Locally Large number of parameters Complex specification/computation Warping and Morphing 23
24 Examples Global Local 24
25 Specification Principles What happens to each point of the domain? Can be described: for every individual point (not feasible) for a few regions and interpolated indirectly through parameters 25
26 Examples Interpolated Parameters (80% of pinch) 26
27 Specification Definitions Correspondence association between two regions defines original and final states Specification set of correspondences 27
28 Specification Example Three Correspondences Original Set Final Set 28
29 Warping x Morphing Warping Single object Specification of original and deformed states Morphing Two objects Specification of initial and final states 29
30 Warping x Morphing Warping Morphing 30
31 Morphing Transformations Representation of Transformations Specification of Transformations Specification Techniques
32 Types of Specification Parametric Partition-based Feature-based Automatic or semi-automatic 32
33 Parametric Specification Controlled by few parameters Examples: rotation, twist, visualization 33
34 Specification by Partition Regions cover the entire object Regular x Irregular partitions Same topology: original and final sets 34
35 Partition Examples 35
36 Specification by Features Regions do not cover the object Dimension of features object dimension Examples: points, vectors, planes, boxes,... 36
37 Feature Examples 37
38 Automatic Specification No region correspondences Reduced specification (if any) Approaches: Automatic computation Automatic detection of object features Digitization (rotoscoping) 38
39 Automatic Example 39
40 Resulting Transformation Behavior in: Specified Areas close to specification Unspecified areas should maintain continuity close to expected behavior 40
41 Specification Goals Minimal input Predictable, common sense behavior Leads to Dualities: Specification x Computation Specified x Inferred Amount of input x Predictability 41
42 Next Comparison of specification techniques Videos Specification and computation duality Computation of transformations 42
43 Specification and Computation of Warping and Morphing Transformations (part II) Bruno Costa da Silva Microsoft Corp.
44 Specification + Computation Computation of Transformations Conclusion
45 Specification + Computation Specification techniques influence computation: Split responsibilities Specification-wise analysis Computation considered 45
46 Case Analysis Techniques and their specification Point-based Vector-based Spline mesh Feature-based spline mesh Drawing-based 46
47 Point-based + Simple interpolations Simple user interface Higher dimensions Different types of graphical objects May need many points Consistency problems Predictability Computation 47
48 Point-based Example 48
49 Vector Based + Few vectors needed Simple user interface Higher dimensions Different types of graphical objects Computation Consistency problems Predictability 49
50 Vector Based Example 50
51 Spline Mesh + Efficient multiple pass implementation Less consistency problems Predictability Higher dimensions Difficult specification User interface Restricted types of graphical objects Multiple pass anomalies 51
52 Spline Mesh Example 52
53 Feature-based Spline Mesh Feature specification Spline Computation User works with features Features deform spline meshes Spline meshes warp the objects 53
54 User Computation 54 Warp Grid Warp Grid Warp Grid Warp Object Warp Object Warp Object
55 Feature-based Spline Mesh + Feature specification Efficient spline mesh computation Higher dimensions Loose control Interpolation Consistency Restricted types of graphical objects Multi-pass anomalies 55
56 Feature-based Spline Mesh Example 56
57 Drawing Based + Flexible specification Rotoscoped features Different types of graphical object Computation Consistency problems Higher dimensions 57
58 Drawing-based Example 58
59 Specification + Computation Computation of Transformations Conclusion
60 Computation of Transformations Object representation Continuous x discrete Forward mapping Inverse mapping Multi-pass transformations 60
61 Forward Mapping Traverse input pixels Miss/overlap output pixels W p i p o Input Output 61
62 Inverse Mapping Traverse output pixels Does not waste work W -1 pi po Input Output 62
63 Forward Original Antialiased Inverse
64 Multi-pass Transformations Separable transformation T = f f f f 1 = f $ f $ f $ f n n Computation of f i simpler than T Efficient multi-pass computation 64
65 Multi-pass Transformations 65
66 Specification + Computation Computation of Transformations Conclusion
67 Specification Trends Minimization of user input favors: Feature specification Automatic feature extraction Automatic specification Efficiency favors: Partition based techniques (regularity) Simpler forms of interpolation 67
68 Conclusion Transformation Representation Importance of User and Specification Specification and Computation Duality Specification Techniques Comparison Simple Specification & Predictable Results 68
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